Artykuły w czasopismach na temat „Health and illness”

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1

F*, Lorin. "Health, Illness, Yoga". Journal of Natural & Ayurvedic Medicine 3, nr 3 (15.07.2019): 1–2. http://dx.doi.org/10.23880/jonam-16000193.

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T. Krishnamacharya’s teachings on yoga have spread throughout the world through four of his students: BKS IYENGAR, PATTABHI JOY, TKV, DESIKACHAR, T. SHRIBASHYAM, and the latest two being his sons. I had the privilege to meet TKV Desikachar in 1965 in Gstaad, Switzerland when he was the guest of Jiddu Krishnamurti to whom he was then giving âsana-s and prânâyâma s courses. When I started taking classes with him in 1966, in Chennai, I was surprised and fullfilled when I understood it was 121 courses. Furthermore, during the rather lengthy span of years I returned to study with him, from 1966 to the end of the eighties, I could appreciate the evolution, adaptation and deepening of their teachings, his' and his father's. The first years, the stress was put on learning âsana-s and prânâyâma-s as adaptables tools for health and well-being, together with the in depth study of Patanjali's masterly yoga reference book : yoga sugar. In the course of time, I understood how to apply the numerous means which yoga offers: âsana-s, prânâyâma-s, bandha-s, mudra-s, dharana-s, dhyana, etc. not only as ways to realize the inner self, Consciousness, but also how to help people with physical disabilities or mental illnesses. Moreover it unable me to show a holistic, a deep, a joyous approach to living, helping them to free themselves from fear, addictions, stress and the like.
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Webster, Ian W. "Health and illness". Medical Journal of Australia 150, nr 11 (czerwiec 1989): 662. http://dx.doi.org/10.5694/j.1326-5377.1989.tb136737.x.

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Moch, Susan Diemert. "Health within illness". Advances in Nursing Science 11, nr 4 (lipiec 1989): 23–31. http://dx.doi.org/10.1097/00012272-198907000-00006.

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Mahboub, Samira M., Rahaf A. Aleyadhi, Reema I. Aldrees i Shahad S. Almuhanna. "Knowledge and attitude towards mental illness among health and non-health university students in Riyadh". International Journal of Research in Medical Sciences 8, nr 10 (24.09.2020): 3497. http://dx.doi.org/10.18203/2320-6012.ijrms20204223.

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Background: Mental illness can affect anyone regardless of age, gender, and residence. Studying the attitude and knowledge about mental illnesses among university students is important, because they are the future decision makers dealing with such problems. The aim of this study was to assess level of knowledge and attitude towards mental illnesses among health and non-health university students in Riyadh.Methods: This study was a cross-sectional study on students of the governmental universities in Riyadh with both health and non-health speciality. The total sample size was 587 students. The questionnaire was designed electronically, and the link was distributed through social media. It included socio-demographic questions, 17 questions to assess knowledge and 22 questions to assess the attitudes. The statistical tests used were chi square, independent sample t-test, spearman’s correlation and multiple linear regression tests.Results: More than half of the participants had a positive attitude toward mental illness (52%). Only 13.46% of university students had good knowledge about mental illness. Significant higher level of good knowledge and positive attitude were reported among health college students compared to non-health (24.7% versus 7.9% for good knowledge and 60.8% versus 48.3 for positive attitude respectively). Attitude towards mental illness can be successfully predicted by using the knowledge score about mental illness and the type of college.Conclusion: Low percentage of university students had good knowledge about mental illness and their attitude towards mental illness was generally positive. Health college students had better attitude and knowledge about mental illness than non-health.
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YOUSAF, ANNA, BRENDALEE VIVEIROS i GENEVIEVE CARON. "Rhode Island Department of Health Foodborne Illness Complaint System: A Descriptive and Performance Analysis". Journal of Food Protection 82, nr 9 (20.08.2019): 1568–74. http://dx.doi.org/10.4315/0362-028x.jfp-19-135.

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ABSTRACT Foodborne illnesses create a large impact on both the health and economy of the United States. Early detection of an outbreak is essential to preventing additional illnesses. Foodborne illnesses are commonly identified through foodborne illness complaint systems, and it is vital that public health agencies ensure their systems are functioning effectively for successful detection of foodborne outbreaks. The purpose of this study was to provide a descriptive summary of foodborne illness complaint data in Rhode Island and to evaluate the Rhode Island Department of Health (RIDOH) foodborne illness complaint system's ability to detect foodborne outbreaks using the Council to Improve Foodborne Outbreak Response (CIFOR) target performance measures. Data were collected from all foodborne illness complaints reported to RIDOH by the public from 1 January 2010 to 31 December 2017. During this period, 1,218 foodborne illness complaints in total were reported to RIDOH; 85% of complainants reported their illness within 7 days of symptom onset. Most complainants (73%) did not seek medical attention. There were 54 outbreaks, 80% of which were identified by the complaint system. Most pathogens that were identified during an outbreak detected by the complaint system were nonreportable (69%). CIFOR metrics indicate that the complaint system is functioning (i) at an acceptable level of illness complaints expected based on population size and (ii) at preferable levels for metrics related to outbreak detection. This review of the RIDOH foodborne illness complaint system provides evidence for the vital role of complaint systems in detecting foodborne illness outbreaks. In addition, it demonstrates that complaint systems can detect illnesses in a timely manner, likely preventing further illnesses. This was the first multiyear evaluation of Rhode Island's illness complaint surveillance system and will serve as a baseline for future analyses to monitor trends in performance.
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Keyes, Corey L. M., i Joseph G. Grzywacz. "Complete Health: Prevalence and Predictors among U.S. Adults in 1995". American Journal of Health Promotion 17, nr 2 (listopad 2002): 122–31. http://dx.doi.org/10.4278/0890-1171-17.2.122.

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Purpose. To operationalize, estimate the prevalence, and ascertain the epidemiology of complete health. Design. Cross-sectional analyses of self-reported survey data collected via a telephone interview and a self-administered questionnaire. Setting. Households in the 48 contiguous states in the United States in 1995. Subjects. Random-digit dialing sample of 3032 adults between the ages of 25 and 74, with a response rate of 61%. Measures. Physical illness and health were measured with a total of 37 items—a checklist of 29 chronic health conditions, a six-item scale of limitations of daily living, and a single item for perceived current health and for perceived 5-year change in energy. Mental illness and health were measured with the Composite International Diagnostic Interview Short Form diagnostic scale of major depression, panic, and generalized anxiety disorders and three established multi-item scales of subjective well-being (emotional, psychological, and social well-being). Completely healthy adults have high levels of physical and mental health and low levels of physical and mental illnesses; completely unhealthy adults have high levels of physical and mental illnesses and low levels of physical and mental health. Incompletely healthy adults consisted of two groups: one group is physically healthy (high physical health and low physical illness) and mentally unhealthy, and the second group is mentally healthy (high mental health and low mental illness) and physically unhealthy. Results. Nineteen percent of adults were completely healthy, 18.8% were completely unhealthy, and 62.2% had a version of incomplete health. Compared with completely unhealthy adults, completely healthy adults are likely to be young (25–34 years of age) or old (55–64 and 65–74 years), are married, are male, are college educated, and have higher household incomes. Conclusions. Operationalizing complete health highlights objectives for increasing the prevalence of complete health, and reducing the prevalence of complete ill-health and incomplete health.
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Bluhm, Robyn. "Vulnerability, health, and illness". IJFAB: International Journal of Feminist Approaches to Bioethics 5, nr 2 (wrzesień 2012): 147–61. http://dx.doi.org/10.3138/ijfab.5.2.147.

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Ernst, E. "Culture, health and illness". Focus on Alternative and Complementary Therapies 2, nr 1 (14.06.2010): 32. http://dx.doi.org/10.1111/j.2042-7166.1997.tb00583.x.

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Kilwein, J. H. "HEALTH, ILLNESS AND WILLPOWER". Journal of Clinical Pharmacy and Therapeutics 15, nr 3 (czerwiec 1990): 165–68. http://dx.doi.org/10.1111/j.1365-2710.1990.tb00372.x.

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Davies, Peter G. "Between Health and Illness". Perspectives in Biology and Medicine 50, nr 3 (2007): 444–52. http://dx.doi.org/10.1353/pbm.2007.0026.

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Akisanya, Sade. "Culture, Health and Illness". Physiotherapy 86, nr 11 (listopad 2000): 610. http://dx.doi.org/10.1016/s0031-9406(05)61409-5.

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&NA;. "Illness, Activity, and Health". Back Letter 18, nr 1 (styczeń 2003): 2. http://dx.doi.org/10.1097/00130561-200318010-00004.

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Rubens, Carolyn. "Culture, Health and Illness". BMJ 322, Suppl S5 (1.05.2001): 0105164a. http://dx.doi.org/10.1136/sbmj.0105164a.

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Dreher, Melanie. "Culture, Health and Illness". Journal of Substance Use 8, nr 1 (1.04.2003): 63–64. http://dx.doi.org/10.1080/14659890306284.

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Mitchell, DP. "Postmodernism, health and illness". Journal of Advanced Nursing 23, nr 1 (styczeń 1996): 201–5. http://dx.doi.org/10.1111/j.1365-2648.1996.tb03153.x.

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Kouba, Petr. "Conceptualizing Health and Illness". Journal of Phenomenological Psychology 39, nr 1 (2008): 59–80. http://dx.doi.org/10.1163/156916208x311629.

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AbstractThis article is focused on the notions of health and illness, as they appear in the context of philosophical reflections on finitude and contingency of human existence. Criticizing Heidegger's approach to health and illness which is based on the Aristotelian concept of privation, the author tries to find an alternative to the privative concept of illness with the help of Schelling's treatise on human freedom which explicates Evil not as a privation of Good, but as a sort of illness that has its own phenomenal positivity. Even Schelling's philosophical investigation of the nature of Evil, however, doesn't seem to provide a solid ground for a non-privative and non-normative approach to pathological phenomena. Only when Schelling's treatise on human freedom is de-contextualized and radicalized in a way suggested, for instance, by Deleuze in his Difference and Repetition, does it seem possible to elucidate pathological, and especially psychopathological phenomena, as they show themselves from themselves, and not from the perspective given by the normative ideal of health.
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Richman, Judith A. "Health, Illness and Families". Journal of Nervous and Mental Disease 176, nr 3 (marzec 1988): 190. http://dx.doi.org/10.1097/00005053-198803000-00010.

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Ward, Anne. "Menstruation, health, and illness". Behaviour Research and Therapy 31, nr 1 (styczeń 1993): 135–36. http://dx.doi.org/10.1016/0005-7967(93)90059-4.

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Boylan, Alan. "Culture, health and illness". Nurse Education Today 5, nr 6 (grudzień 1985): 252. http://dx.doi.org/10.1016/0260-6917(85)90048-6.

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Price, Bob. "Explaining health & illness". Nurse Education Today 12, nr 5 (październik 1992): 396. http://dx.doi.org/10.1016/0260-6917(92)90116-6.

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Fennelly, J. F. "Culture, Health and Illness". JAMA: The Journal of the American Medical Association 285, nr 8 (28.02.2001): 1075–76. http://dx.doi.org/10.1001/jama.285.8.1075.

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Scarbrough, Jessica A. "The Growing Importance of Mental Health Parity". American Journal of Law & Medicine 44, nr 2-3 (maj 2018): 453–74. http://dx.doi.org/10.1177/0098858818789432.

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Mental health is currently one of the most expensive health care issues. The cost of treating mental illness’s effects not only impacts the health care industry as a whole, but also imposes indirect costs on businesses through absenteeism, lower productivity, and reduced earnings. Mental illness, and the effects of mental illness, costs the U.S. economy several billion dollars in losses every year, with predictions suggesting that these costs will only continue to rise in the next two decades. Between 2006 and 2009 alone the costs of mental health care rose from approximately $57 billion to more than $150 billion. These numbers will likely be exacerbated due to the mental health problems that are continuing to rise within the United States as teenagers and adolescents are experiencing mental illness at escalating rates. Despite the rapid growth of mental illness, mental health coverage has not been expanding to meet the increasing demand for treatment. It is estimated that about 28% of the U.S. population has a diagnosable mental illness, even though only 8% actually seek treatment.
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Thompson, Riki. "Looking healthy: visualizing mental health and illness online". Visual Communication 11, nr 4 (18.10.2012): 395–420. http://dx.doi.org/10.1177/1470357212453978.

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Madhurima Paul i Swapan Das. "Mental health in tech workplace: An analysis". International Journal of Science and Research Archive 10, nr 1 (30.09.2023): 221–33. http://dx.doi.org/10.30574/ijsra.2023.10.1.0743.

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In recent years, there has been a significant research and analysis on the role of mental health in reaching global sustainable development goals. Employees are more likely to experience mental illnesses as a result of workplace stress. Mental illness can result in depression, personality disorders, phobias, anxiety disorders, mood disorders, psychotic disorders and a few more. In this study, we analyzed the Open Sourcing Mental Illness (OSMI) (osmihelp.org) Mental Health in Tech Survey dataset to determine the root causes of mental health disorders among the employees. Here, we looked at the severity of mental illness among working employees based on a variety of factors or attributes, including self-employment, mental health history in the employee's family, company offering benefits, whether the employee is receiving treatment for mental illness, and much more. We then attempted to build a fundamental machine learning model to predict whether an employee requires medical attention or not.
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Neoh, Beng Eik, Kai An Sim, Lay Guat Chan i Chee Kit Ho. "Transition Intensities for Critical Illness: A Study on Canadian Health Data". Malaysian Journal of Fundamental and Applied Sciences 19, nr 2 (18.04.2023): 236–62. http://dx.doi.org/10.11113/mjfas.v19n2.2848.

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Multiple state model is a mathematical model which is characterised by two important elements, transition intensity and transition probability. Critical illness has increased rapidly which is alarmed by the healthcare experts, and becoming an important concern in society. In this paper, by using the Canadian health data, we provide an estimation of transition intensities from the healthy state to the critical illness state with the application of prevalence rate. We provide a discrete calculation of transition intensities with some mathematical formula discussed by some previous studies. Next, we assume that the transition intensities of critical illnesses and death due to other causes are modelled by Gompertz and Makeham mortality models. We also compare and estimate the transition intensities of critical illnesses and dead due to other causes between these two models using a model selection method. We observe the sensitivity of the Gompertz and Makeham models with the different values of extra mortality . Lastly, we obtain and present the numerical results of the transition intensities of healthy lives to critical illness with the Canadian health data.
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GÖKÇAY, Gönül, Erdal ERSARI ŞEN, Ali UĞURLU i Arzuv HUDAYKULYYEVA. "APPROACH OF PUBLIC HEALTH NURSING TO CHILDREN AND FAMILIES WITH CHRONIC ILLNESS". INTERNATIONAL REFEREED ACADEMIC JOURNAL OF SPORTS 50 (2023): 61–78. http://dx.doi.org/10.17363/sstb.2023/abcd89/.50.4.

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Chronic illness is a condition with increasing prevalence that requires medical care and affects children physically, psychosocially, and academically. Globally, one in four children is affected by chronic illnesses, accounting for approximately 10-30% of the total child population. In recent years, there has been an observed increase in the number of children monitored for chronic illnesses in Turkey. It is reported that 10-20% (approximately 700,000) of children under the age of 18 are followed up for chronic illnesses. Aim: This compilation is designed to examine how chronic illnesses in childhood affect children and their parents, coping mechanisms in this situation, and the roles of public health nurses in light of the literature. Method: The literature review of the study was conducted between November 15 and December 5, 2023. During the search, queries were performed using the keywords 'Chronic illness' AND 'Parent' AND 'Public health nursing' OR 'Chronic illness' AND 'Parent' AND 'Coping methods' along with their English translations on search engines such as Google Scholar, PubMed, Science Direct, Ebscohost, Scopus, and CINAHL. Results: Chronic illnesses during childhood are categorized based on age groups: infancy (0-1 year), toddlerhood (1-3 years), preschool period (3-6 years), school-age period (6-12 years), and adolescence (12-18 years). Subsequently, the impact of chronic illness on parents and the role of nurses, the effect of chronic illness on siblings, coping mechanisms for children with chronic illnesses, and nursing care based on age groups are discussed. Conclusion: Coping with chronic illnesses can be a challenging process for both children and their families. Therefore, the support provided by healthcare professionals, especially public health nurses, to these families is of critical importance.
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S Kumar, Vini, Baby S Nayak i Yashoda S. "HEALTH RELATED QUALLITY OF LIFE OF CHILDREN WITH CHRONIC ILLNESS". Nursing Journal of India CVI, nr 03 (2022): 125–27. http://dx.doi.org/10.48029/nji.2015.cvi307.

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A descriptive survey was carried out with the aim of determining the health related quality of life (HRQOL) of hospitalised children with chronic illness. Data was collected from 148 children with chronic illness admitted in selected paediatric wards of tertiary care hospitals and their parents. The results showed that 51 percent of the children scored below the median of total HRQOL score. Children with cancer 34 (91.9%) and thalassemia 33 (89.2%) reported a low HRQOL. Children with chronic illness especially cancer and thalassemia had significantly low HRQOL compared to children with other illnesses. Gender, diagnosis, frequency of hospitalisation, duration of illness and type of treatment received were the predictive of HRQOL of these children.
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Pindobilowo, Dwi Ariani i Dhira Mahatidana. "Dental and Oral Health Promotion Program for People with Mental Illness". Jurnal Multidisiplin Madani 2, nr 11 (30.11.2022): 3893–905. http://dx.doi.org/10.55927/mudima.v2i11.1633.

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Background: More than 450 million people in the world suffer from mental illness in 2017 with mental illness as the biggest contributor to years lived with disabilities. People with mental illness have worse dental and oral health status than the general public. However, this problem is still often ignored by medical personnel who handle it, even though dental and oral health is no less important. One of the things that can be done to overcome this is through the promotion of dental and oral health. Until now, it is not known whether there is a dental and oral health promotion program specifically for people with mental illness and its effectiveness. Purpose: to conduct a literature study that examines the dental and oral health status of people with mental illnesses as well as strategies and effectiveness of dental and oral health promotion for people with mental illnesses. Methods: This literature study uses a narrative review by analyzing various journals from the online databases of BMC Oral Health, PubMed, and Google Scholar which are related to the promotion of oral health and mental illness. Conclusion: This literature study reveals that there are various methods that can be used in promoting oral health for people with mental illness. There are many factors that affect the impact and course of health promotion so that the effectiveness of dental and oral health promotion for people with mental illness still varies. It is necessary to carry out further studies regarding other aspects that play a role as well as other methods that can be used
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Mohiuddin, Abdul Kader. "Health Literacy: The Most Neglected Essential Human Quality". South Asian Research Journal of Applied Medical Sciences 5, nr 01 (16.02.2023): 7–18. http://dx.doi.org/10.36346/sarjams.2023.v05i01.002.

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People must have particular personality traits and social resources, also known as health literacy, in order to access, comprehend, and use information to make decisions about their health. Patients' ability to engage in complex disease management and self-care is strongly related to their level of health literacy. It can help us stay healthy by preventing illness and effectively managing existing illnesses. People with low health literacy (LHL) may find it difficult to manage their condition and prevent illness, which may lead to increased use of healthcare services. Furthermore, LHL is associated with increased hospitalizations, increased use of emergency care, decreased use of preventative services, and a worsened ability to understand labels and health messages, a worsened state of health, higher mortality, and more expensive medical care.
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Machio, Phyllis Mumia. "Gender Differences in the Effect of Chronic Illness on Employment Status in Kenya". European Scientific Journal, ESJ 12, nr 19 (29.07.2016): 338. http://dx.doi.org/10.19044/esj.2016.v12n19p338.

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The burden of illness in Kenya has been high and rising with chronic illness becoming an important contributor to disease burden. Grossman (1972) viewed stock of health as an investment good that determines total healthy time available for market activities. Illness, therefore, can reduce total amount of healthy time causing individual’s to prefer flexible types of employment. This study estimates the effect of chronic illness on probability of participating in various type of employment in Kenya using the Kenya integrated household budget survey data. Multinomial probit models were used to model choice between wage employment, non-agricultural self- employment, agricultural self-employment and not working since data did not support the multinomial logit’s assumption of IIA. The results indicated that compared to not working, chronic illness reduced likelihood of individuals working in wage employment and in agricultural self-employment. When the analysis was disaggregated by gender, results showed that while chronic illness significantly reduced women’s likelihood of working in wage employment and in agricultural self-employment, it did not significantly influence men’s choice of employment type. Policies need to be put in place by the government to control the up rise in chronic illnesses. This can be through promotion of health lifestyles by advocating for consumption of healthy diets, physical activity and non tobacco consumption. The government can ensure proper management of chronic illnesses such as HIV/AIDS, diabetes, high blood pressure by making available at subsidized prices management drugs. Reducing chronic illness incidences not only increases utility of the individuals, but also affect labor market choices.
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Alberts, Nicole M., Heather D. Hadjistavropoulos, Simon B. Sherry i Sherry H. Stewart. "Linking Illness in Parents to Health Anxiety in Offspring: Do Beliefs about Health Play a Role?" Behavioural and Cognitive Psychotherapy 44, nr 1 (25.06.2014): 18–29. http://dx.doi.org/10.1017/s1352465814000319.

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Background: The cognitive behavioural (CB) model of health anxiety proposes parental illness leads to elevated health anxiety in offspring by promoting the acquisition of specific health beliefs (e.g. overestimation of the likelihood of illness). Aims: Our study tested this central tenet of the CB model. Method: Participants were 444 emerging adults (18–25-years-old) who completed online measures and were categorized into those with healthy parents (n = 328) or seriously ill parents (n = 116). Results: Small (d = .21), but significant, elevations in health anxiety, and small to medium (d = .40) elevations in beliefs about the likelihood of illness were found among those with ill vs. healthy parents. Mediation analyses indicated the relationship between parental illness and health anxiety was mediated by beliefs regarding the likelihood of future illness. Conclusions: Our study incrementally advances knowledge by testing and supporting a central proposition of the CB model. The findings add further specificity to the CB model by highlighting the importance of a specific health belief as a central contributor to health anxiety among offspring with a history of serious parental illness.
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Yoshii, Hatsumi. "Reasons for Workplace Mental Illness Disclosure and Non-Disclosure in Japan". Health 06, nr 14 (2014): 1780–89. http://dx.doi.org/10.4236/health.2014.614210.

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Verdeja, Marco, Kendra Thomas, Gina Dorsan, Megan Hawks, Kirk Dearden, Nancy Stroupe, Taylor Hoj i in. "Water, Sanitation, and Hygiene Factors Associated with Child Illness in Tanzania". Health 11, nr 06 (2019): 827–40. http://dx.doi.org/10.4236/health.2019.116066.

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Ngere, Sarah, Maria Maixenchs, Sammy Khagayi, Peter Otieno, Kennedy Ochola, Kelvin Akoth, Aggrey Igunza i in. "Health care-seeking behavior for childhood illnesses in western Kenya: Qualitative findings from the Child Health and Mortality Prevention Surveillance (CHAMPS) Study". Gates Open Research 8 (24.04.2024): 31. http://dx.doi.org/10.12688/gatesopenres.14866.1.

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Background Child mortality in Kenya is 41 per 1,000 live births, despite extensive investment in maternal, newborn, and child health interventions. Caregivers’ health-seeking for childhood illness is an important determinant of child survival, and delayed healthcare is associated with high child mortality. We explore determinants of health-seeking decisions for childhood illnesses among caregivers in western Kenya. Methods We conducted a qualitative study of 88 community members between April 2017 and February 2018 using purposive sampling in an informal urban settlement in Kisumu County, and in rural Siaya County. Key informant interviews, semi-structured interviews and focus group discussions were performed. We adopted the Partners for Applied Social Sciences model focusing on factors that influence the decision-making process to seek healthcare for sick infants and children. The discussions were audio-recorded and transcribed. Data management was completed on Nvivo® software. Iterative analysis process was utilized and themes were identified and collated. Results Our findings reveal four thematic areas: Illness interpretation, the role of social relationship on illness recognition and response, medical pluralism and healthcare access. Participants reported some illnesses are caused by supernatural powers and some by biological factors, and that the illness etiology would determine the health-seeking pathway. It was common to seek consensus from respected community members on the diagnosis and therefore presumed cause and necessary treatment for a child’s illness. Medical pluralism was commonly practiced and caregivers would alternate between biomedicine and traditional medicine. Accessibility of healthcare may determine the health seeking pathway. Caregivers unable to afford biomedical care may choose traditional medicine as a cheaper alternative. Conclusion Health seeking behavior was driven by illness interpretation, financial cost associated with healthcare and advice from extended family and community. These findings enrich the perspectives of health education programs to develop health messages that address factors that hinder prompt health care seeking.
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Walker, Christine. "Recognising the changing boundaries of illness in defining terms of chronic illness". Australian Health Review 24, nr 2 (2001): 207. http://dx.doi.org/10.1071/ah010207.

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Definitions of chronic illness do not reflect the changing nature of chronic illnesses. When definitions in the literature,which guide and inform thinking in a field, remain static they are in danger of creating stereotypes. This can havean adverse influence on the care of people with chronic illness. Debates over the use of terms associated with chronicillness will lead to a better understanding of the place of chronic illness in the world of health and illness andultimately lead to services that better meet the needs of consumers.
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Hudson, Joanna L., i Rona Moss-Morris. "Treating Illness Distress in Chronic Illness". European Psychologist 24, nr 1 (styczeń 2019): 26–37. http://dx.doi.org/10.1027/1016-9040/a000352.

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Abstract. Cognitive-behavioral therapy (CBT) is an evidence-based treatment for depression and anxiety recommended for those with and without physical long-term conditions (LTCs). However, the cognitive-behavioral mechanisms targeted in CBT protocols are based on empirical cognitive-behavioral models of depression and anxiety. In these models, emotions are conceptualized as primary mental health disorders rather than a reaction to the challenges of living with a LTC commonly referred to as illness distress. This raises important clinical questions with theoretical implications. These include: Is the experience of illness distress conceptually distinct from primary mental health diagnoses of anxiety and mood disorder? Are there unique cognitive-behavioral mechanisms related to illness self-management, which should be incorporated into CBT for illness distress? How can illness self-management interventions be embedded within existing CBT protocols for depression and anxiety? To address these questions, we distinguish between primary mental health disorders and illness distress conceptually and explore the impact of this on tailored treatment planning and engagement. Second, we review how health psychology theoretical models can help to inform modifications of existing cognitive-behavioral treatments for anxiety and depression to better support the needs of individuals experiencing illness distress. Third, we provide examples of how to embed processes important for illness self-management including, illness cognitions and adherence, alongside existing CBT techniques. The mechanisms and intervention techniques discussed may help to inform the development of integrated CBT treatments for illness distress for future hypothesis testing in comparative effectiveness trials.
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Austin, PhD, David R. "Reformulation of the Health Protection/Health Promotion Model". American Journal of Recreation Therapy 10, nr 3 (1.07.2011): 19–26. http://dx.doi.org/10.5055/ajrt.2011.0017.

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The Health Protection/Health Promotion Model is reviewed and reformulated. The original model had the following two shortcomings: a) it was largely designed for acute illness and therefore did not adequately reflect the needs of clients experiencing chronic illnesses and b) it did not consider the approaches brought on by the positive psychology movement. Thus, the reformulated Health Protection/Health Promotion Model has been altered in two substantive ways. First, it attempts to better reflect the needs of clients with chronic illnesses; second, it has added positive psychology to extend the theoretical foundation of the initial Health Protection/Health Promotion Model.
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Odd, David, Tom Williams, Sylvia Stoianova, Grace Rossouw, Peter Fleming i Karen Luyt. "Newborn Health and Child Mortality Across England". JAMA Network Open 6, nr 10 (17.10.2023): e2338055. http://dx.doi.org/10.1001/jamanetworkopen.2023.38055.

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ImportanceAlthough the immediate impact of neonatal illness is well recognized, its wider and longer term outcomes on childhood mortality and the role of specific illnesses across childhood are unclear.ObjectiveTo investigate how many deaths in childhood are associated with neonatal illness and the underlying conditions of the children who died.Design, Setting, and ParticipantsThis population-based cohort study of children who died before age 10 years in England between April 1, 2019, and March 31, 2021, used data from the National Child Mortality Database. Data analysis was performed from September 2022 to May 2023.ExposureChildren who received care in a neonatal unit after birth plus those who died in the first day of life, before admission to a neonatal unit, were considered to have likely neonatal illness.Main Outcomes and MeasuresThe primary outcome was the relative risk (RR) of dying, stratified by likely neonatal illness and specific neonatal conditions. Comparisons were made using the χ2 or likelihood ratio test, as appropriate.ResultsA total of 4829 children were included (median [IQR] age at death, 28 [2-274] days; 2606 boys [54.8%]; 2690 White children [64.0%]). Overall, 3456 children who died (71.6%) had evidence of likely neonatal illness. Children with neonatal illness were more likely to die before their tenth birthday than those without evidence of neonatal illness (RR, 13.82; 95% CI, 13.00-14.71). The estimated population-attributable risk fraction for neonatal illness among all deaths before age 10 years was 66.4% (95% CI, 64.9%-67.9%). Children with preceding neonatal illness who died were more likely to have underlying behavioral or developmental disorders (odds ratio [OR], 3.31; 95% CI, 2.47-4.42), chronic neurological disease (OR, 3.00; 95% CI, 2.51-3.58), and chronic respiratory disease (OR, 3.01; 95% CI, 2.43-3.73) than children without neonatal illness.Conclusions and RelevanceIn this cohort study, most children who died before age 10 years had some evidence of neonatal illness, and they died of a range of causes, including infections and sudden, unexpected, unexplained death. These findings suggest that improvements to perinatal morbidity, an area with an existing evidence base for improvement, may have important impacts on child health across the next decade.
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Waddell, Charles. "Health, illness and spirituality symposium". Health Sociology Review 11, nr 1-2 (styczeń 2002): 49–51. http://dx.doi.org/10.5172/hesr.2002.11.1-2.49.

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Sweeney, Lynn. "Chronic illness and health development". Paediatric Nursing 10, nr 7 (1.09.1998): 31–34. http://dx.doi.org/10.7748/paed.10.7.31.s26.

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Francis, Gloria M. "Mental Health and Mental Illness". Journal of Psychosocial Nursing and Mental Health Services 28, nr 8 (sierpień 1990): 34. http://dx.doi.org/10.3928/0279-3695-19900801-12.

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Kumar, CNaveen, ASangoi Bijal, N. Manjunatha, Mahesh Gowda, Vinay Basavaraju i SureshBada Math. "Health insurance and mental illness". Indian Journal of Psychiatry 61, nr 10 (2019): 791. http://dx.doi.org/10.4103/psychiatry.indianjpsychiatry_158_19.

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Simon, Chantal. "Physical health and mental illness". InnovAiT: Education and inspiration for general practice 7, nr 12 (6.11.2014): 716–22. http://dx.doi.org/10.1177/1755738014556495.

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Samiee, Janet. "Health Problems and Mental Illness". Nurse Practitioner 30, nr 5 (maj 2005): 11. http://dx.doi.org/10.1097/00006205-200505000-00003.

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Huber, Charles H. "Balancing Family Health and Illness". Family Journal 1, nr 1 (styczeń 1993): 69–71. http://dx.doi.org/10.1177/106648079300100110.

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Prendegar, Ellen. "Mental Health and Mental Illness". Home Healthcare Nurse: The Journal for the Home Care and Hospice Professional 9, nr 1 (styczeń 1991): 47. http://dx.doi.org/10.1097/00004045-199101000-00016.

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Donovan, John W. "More health or less illness?" Medical Journal of Australia 161, nr 7 (październik 1994): 406. http://dx.doi.org/10.5694/j.1326-5377.1994.tb127519.x.

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Blumberg, Irving. "Mental "Health" and Mental "Illness"". Psychiatric Services 39, nr 3 (marzec 1988): 239. http://dx.doi.org/10.1176/ps.39.3.239.

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Quesnel-Vallée, Amélie. "Constructions of Health and Illness". Contemporary Sociology: A Journal of Reviews 34, nr 3 (maj 2005): 322–23. http://dx.doi.org/10.1177/009430610503400361.

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Iles-Shih, Matthew, Chuck Sve, Rachel Solotaroff, Richard Bruno i Jessica Gregg. "Health and Illness in Context". Journal of Public Health Management and Practice 17, nr 4 (2011): 308–12. http://dx.doi.org/10.1097/phh.0b013e31820f8e56.

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